Publication Date
| In 2026 | 0 |
| Since 2025 | 0 |
| Since 2022 (last 5 years) | 0 |
| Since 2017 (last 10 years) | 5 |
| Since 2007 (last 20 years) | 6 |
Descriptor
Author
| Elliott, Stephen N. | 4 |
| Nese, Joseph F. T. | 4 |
| Schulte, Ann C. | 4 |
| Stevens, Joseph J. | 4 |
| Tindal, Gerald | 4 |
| Yel, Nedim | 4 |
| Anderson, Daniel | 3 |
| Matta, Tyler | 2 |
| Braun, Henry | 1 |
| Gershenson, Seth | 1 |
| Hayes, Michael S. | 1 |
| More ▼ | |
Publication Type
| Reports - Research | 6 |
| Journal Articles | 2 |
Education Level
| Elementary Education | 5 |
| Early Childhood Education | 1 |
| Kindergarten | 1 |
| Primary Education | 1 |
Audience
Location
| Arizona | 1 |
| North Carolina | 1 |
| Oregon | 1 |
| Pennsylvania | 1 |
Laws, Policies, & Programs
Assessments and Surveys
| Early Childhood Longitudinal… | 2 |
| North Carolina End of Course… | 1 |
What Works Clearinghouse Rating
Gershenson, Seth; Hayes, Michael S. – Educational Policy, 2018
School districts across the United States increasingly use value-added models (VAMs) to evaluate teachers. In practice, VAMs typically rely on lagged test scores from the previous academic year, which necessarily conflate summer with school-year learning and potentially bias estimates of teacher effectiveness. We investigate the practical…
Descriptors: Value Added Models, Teacher Effectiveness, Scores, Comparative Analysis
Schulte, Ann C.; Stevens, Joseph J.; Nese, Joseph F. T.; Yel, Nedim; Tindal, Gerald; Elliott, Stephen N. – National Center on Assessment and Accountability for Special Education, 2018
This technical report is one of a series of four technical reports that describe the results of a study comparing eight alternative models for estimating school academic achievement using data from the Arizona, North Carolina, Oregon, and Pennsylvania accountability systems. The purpose of these reports was to evaluate a broad range of models…
Descriptors: School Effectiveness, Models, Computation, Comparative Analysis
Nese, Joseph F. T.; Stevens, Joseph J.; Schulte, Ann C.; Tindal, Gerald; Yel, Nedim; Anderson, Daniel; Matta, Tyler; Elliott, Stephen N. – National Center on Assessment and Accountability for Special Education, 2018
This technical report is one of a series of four technical reports that describe the results of a study comparing eight alternative models for estimating school academic achievement using data from the Arizona, North Carolina, Oregon, and Pennsylvania accountability systems. The purpose of these reports was to evaluate a broad range of models…
Descriptors: School Effectiveness, Models, Computation, Comparative Analysis
Stevens, Joseph J.; Nese, Joseph F. T.; Schulte, Ann C.; Tindal, Gerald; Yel, Nedim; Anderson, Daniel; Matta, Tyler; Elliott, Stephen N. – National Center on Assessment and Accountability for Special Education, 2017
This technical report is one of a series of four technical reports that describe the results of a study comparing eight alternative models for estimating school academic achievement using data from the Arizona, North Carolina, Oregon, and Pennsylvania accountability systems. The purpose of these reports was to evaluate a broad range of models…
Descriptors: School Effectiveness, Models, Computation, Comparative Analysis
Schulte, Ann C.; Nese, Joseph F. T.; Stevens, Joseph J.; Yel, Nedim; Tindal, Gerald; Anderson, Daniel; Elliott, Stephen N. – National Center on Assessment and Accountability for Special Education, 2017
This technical report is one of a series of four technical reports that describe the results of a study comparing eight alternative models for estimating school academic achievement using data from the Arizona, North Carolina, Oregon, and Pennsylvania accountability systems. The purpose of these reports was to evaluate a broad range of models…
Descriptors: School Effectiveness, Models, Computation, Comparative Analysis
Braun, Henry; Qu, Yanxuan – ETS Research Report Series, 2008
This paper reports on a study conducted to investigate the consistency of the results between 2 approaches to estimating school effectiveness through value-added modeling. Estimates of school effects from the layered model employing item response theory (IRT) scaled data are compared to estimates derived from a discrete growth model based on the…
Descriptors: Value Added Models, School Effectiveness, Robustness (Statistics), Computation

Peer reviewed
Direct link
